torchvision 0.15.2-foss-2022a-CUDA-11.7.0PyTorch library: Datasets, Transforms and Models specific to Computer Vision
Accessing torchvision 0.15.2-foss-2022a-CUDA-11.7.0
To load the module for torchvision 0.15.2-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps/2022a
module load torchvision/0.15.2-foss-2022a-CUDA-11.7.0
BEAR Apps Version
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
For more information visit the torchvision website.
This version of torchvision is a direct dependent of: RootPainter/0.2.27.0-foss-2022a-CUDA-11.7.0
Last modified on 2nd June 2023